Overview

Routines for time series data processing

Use the obspy seismological Trace, Stream (data) and Inventory (metadata) classes, but should work for non-seismology datasets as well if you stuff them into those classes

Classes

• CleanRotator : Rotate data to minimize noise on vertical channel

• SeafloorSynthetic: Generate broadband OBS pressure and acceleration noise and compliance signals

• DataCleaner : Transfer_Function-based data cleaning

• DecimatorDecimate time series and update metadata with the

  decimator’s response

• PeriodicTransient : Calculate and remove periodic transient (VERY manual!)

• SpectralDensity : Calculate and manipulate spectral density functions.

• TimeSpans : Specify time spans to be removed, kept, zeroed, etc.

• ResponseFunctions : Frequency response functions for a given input channel.

• CleanedStreamobspy Stream subclass that handles cleaned_sequence

  information

Functions

• fir2causTransform zero-phase data to minimum phase (only works

  for LCHEAPO loggers, need to update to calculate/work for any zero-phase filter)

• read_MSEEDRead MSEED data, even if the file is too big (> 2 GB)

  for obspy’s read() function

• Peterson_noise_model : Return the Peterson High and Low Noise Models

• Seismo_noise_model : Return the Peterson + xxx High and Low Noise Models

• Pressure_noise_model : Return the Brown et al. [2014] High and Low Noise Models

• stream_synchronizeReturn a synchronized stream (all traces have

  same starttime and endtime). Raises ValueError if not all streams have the same sample_rate

• stream_unmask : unmasks data in a stream, interpolating to fill any gaps

• plot_compliance_stack : plot Z spectra, P spectra, coherence and freq resp function

Command-line programs

Use the -h option for help

• tiskitpy_decimate_SDS : Decimate data stored in a SeisComp Data Structure database.

• tiskitpy_get_SDS_inventory: Return the inventory corresponding to a SeisComp Data Structure database, using the FDSN Station webservice